Physics-guided self-supervised learning for retrospective T1 and T2 mapping from conventional weighted brain MRI: Technical developments and initial validation in glioblastoma

By sjmartinez • July 18, 2024

Qiu S, Wang L, Sati P, Christodoulou AG, Xie Y, Li D. Physics-guided self-supervised learning for retrospective T₁ and T₂ mapping from conventional weighted brain MRI: Technical developments and initial validation in glioblastoma. Magn Reson Med. 2024 Jul 16. doi: 10.1002/mrm.30226. Epub ahead of print. PMID: 39014982.

Tags: biomedical sciences, brain tumor, Cedars Sinai DoM, Deep learning, Infectious Diseases, mapping, MR Imaging, multi‐parametric, Publications, quantitative imaging

Disparities in Health Care Seeking and Physician Diagnosis of Irritable Bowel Syndrome: Results From a United States Survey

Almario CV, Liu J, Higgins C, Yerneni N, Boules M, Chey WD, Chang L. Disparities in Health Care Seeking and Physician Diagnosis of Irritable Bowel[...]

Longitudinal Study on the Influence of Physical Activity in Managing Fatigue in Patients With Colorectal Cancer

Liu L, Kazemian E, Loroña NC, Shirazipour C, Gong J, Crowder SL, Nguyen N, Damerell V, Mooney K, Playdon MC, Ulrich CM, Li CI, Shibata[...]

Artificial intelligence-derived splenic response in cardiac positron emission tomography is associated with major adverse cardiovascular events: a multi-site study

Ramirez G, Dharmavaram NL, Shanbhag A, Miller RJH, Kavanagh PB, Yi J, Lemley M, Builoff V, Marcinkiewicz A, Dey D, Hainer J, Wopperer S, Knight[...]